Senior GPU Engineer

Qualcomm

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$133,600–$200,400 / yr
Posted
9 days ago
Closes
Dec 21, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $206k
This role $167k
$121k most similar roles pay here $254k

This role pays less than 83% of similar roles. Most pay $177,250–$235,750 — the shaded band above. At the midpoint, this role pays about $167k versus about $206k for comparable roles.

Based on 240 similar postings.

Employer

About Qualcomm

Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.

Qualcomm currently has 542 open roles on FindRole.

Listed pay typically runs $148,300–$222,500 across 521 roles with salary data.

Most-posted roles

View all roles at Qualcomm

At a glance

TL;DR · Senior GPU Engineer

As a Senior GPU Engineer at Qualcomm Technologies, Inc., you will independently architect and design GPU cores, focusing on performance and power optimization. Your daily tasks include building functional modeling simulations, developing software tools, and conducting tests for various graphics workloads. You will run benchmarks to ensure application compatibility and perform pre- and post-silicon verification to validate correctness and meet performance goals. This role requires expertise in algorithms, computer engineering, MATLAB, automation, and debugging. The position is part of the GPU ASICS Engineering team, working on cutting-edge hardware solutions for high-performance computing applications at scale.

What you'll do

  • Design and implement high-performance GPU cores focusing on power optimization.
  • Develop functional modeling simulations for GPU architecture verification.
  • Create software, tools, and tests to evaluate various graphics workloads.
  • Conduct benchmarks for different applications to ensure performance goals.
  • Perform pre-silicon and post-silicon verification to validate correctness.

What we're looking for

  • Extensive experience in architecting and designing GPU cores.
  • Proficient in developing software, tools, and tests for graphics workloads.
  • Expertise in pre-silicon verification and post-silicon validation techniques.
  • Strong background in optimizing performance and power consumption of GPUs.
  • Experience with functional modeling simulations and running benchmarks.
  • Knowledge of algorithms and debugging skills essential for GPU engineering.

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